Abstract: Depression detection via wearable Electroencephalogram (EEG) sensor-assisted diagnosis system demands computationally efficient models compatible with resource-constrained edge devices.
This case study of an initiative at Penn Medicine describes a process that included a 4-week trial period, followed ...
A seven-year study found that distinct EEG brain-wave patterns emerging at age 9 can predict vulnerability to anxiety or ...
A longitudinal study tracking children over a period of seven years identified distinct brain-wave patterns emerging from age ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
A longitudinal study tracking children over a period of seven years has identified distinct brain-wave patterns emerging from ...
A longitudinal study tracking children over a period of seven years identified distinct brain-wave patterns emerging from age ...
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